基于居民个体的城市虚-实空间关联指标研究——以南京市为例  

Index of Space Relevance Between Physical and Network Spaces on A Micro-level Basis:A Case Study of Metropolitan Nanjing

作　　者：翟青[1] 甄峰[2,3] 陈映雪 

机构地区：[1]南京邮电大学地理与生物信息学院,江苏南京210046 [2]南京大学建筑与城市规划学院,江苏南京210093 [3]南京大学人文地理研究中心,江苏南京210093 [4]上海市规划编审中心,上海200001

出　　处：《地理科学》2015年第10期1265-1271,共7页Scientia Geographica Sinica

基　　金：国家自然科学基金项目(40971094);江苏省社科项目(2011ZDIXM002);南京邮电大学信息文科建设工程项目(XJ03201)资助

摘　　要：信息技术对城市空间结构的影响一直是地理学关注的话题。随着信息技术的革新及其在社会生活中的普及应用,地理学者开始将研究视角从空间转向网络用户。引入信息科学领域的"地理关联"概念,通过南京居民问卷调查获得973个样本数据,采用结构方程模型分析,尝试从微观个体角度探索基于居民个体的虚-实空间的关联指标。结果发现:居民信息化程度、居民信息化认知、居民信息化习惯、居民流动性是微观层面虚-实空间关联的主要指标;居民流动性是空间关联最重要的衡量指标,其次是居民信息化认知、居民信息化习惯、居民信息化程度;工作地是最能展示网络空间与实体空间紧密关联的场所类型。With the continuous penetration of information and communication technology（ICT） in today＇s society as well as its progressive development, research into the urban spatial structure influenced by ICT has attracted the attention of geographers. As ICT is integrated into the various aspects of the life and profession of individuals, each person has become an important medium for exploring the relationship between physical and network spaces. Consequently, research focus has shifted from such spaces to Internet users. Geographical space research is influenced by the rapid changes in social phenomena. Thus, new data, methods, and ideas are needed to further explore the relationship between network and physical spaces at the micro level.This article introduces the novel notion of＂geography relevance＂from the field of information science to the space research on information geography. We determine the level of cyberspace activity of urban residents from the micro-perspective of individuals and explore the index of space relevance between network and physical spaces. The aim is to highlight the role and position of the level of resident information and mobility in space research. With the city of Nanjing as an example, we conduct an urban resident survey using a questionnaire and obtain 973 samples for the database. Three indicators, namely, residence, workplace, and mobility network activities are adopted to measure the relevance between physical and network spaces. An index of resident information is constructed from two aspects： information level of urban residents and mobility. The index mainly includes the willingness of residents to share information, the degree of information sharing, residents＇ information cognition, the residents＇ habit of information sharing, the devices used for information sharing, information dissemination and acquisition, and mobility. The conclusions are as following. First, the index of space relevance between network and physical spaces at the micro level includes the de

关 键 词：信息技术 网络空间 实体空间 空间关联 结构方程模型 

分 类 号：F590[经济管理—旅游管理]